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On the Ecology of Mountainous Forests in a Changing Climate: A ...

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72 Chapter 3<br />

uWLD c = gSBio c · nDead c· kAshFree (3.41)<br />

gSBio c = 0.12 · D c<br />

2.4<br />

(3.42)<br />

Total annual litter production<br />

The total annual litter production is calculated by summ<strong>in</strong>g <strong>the</strong> litter produced by each tree<br />

cohort (Eq. 3.35-3.41) over all <strong>the</strong> cohorts (nTC is <strong>the</strong> number <strong>of</strong> tree cohorts currently<br />

present on <strong>the</strong> patch):<br />

uFL kLQ =<br />

uTL =<br />

nTC<br />

∑<br />

c = 1<br />

nTC<br />

∑<br />

c = 1<br />

uFLL kLQ,c + uFLD kLQ,c<br />

uTLL c + uTLD c<br />

for kLQ = 1, 2, 3 (3.43)<br />

(3.44)<br />

uRL =<br />

nTC<br />

∑<br />

c = 1<br />

uRLL c + uRLD c<br />

(3.45)<br />

uWL =<br />

nTC<br />

∑<br />

c = 1<br />

uWLD c<br />

(3.46)<br />

OVERVIEW OF STOCHASTIC MODEL COMPONENTS IN FORCLIM-P<br />

The overall behaviour <strong>of</strong> forest gap models, <strong>in</strong>clud<strong>in</strong>g FORCLIM, is dom<strong>in</strong>ated by its<br />

stochastic components (cf. section 2.2.2), although surpris<strong>in</strong>gly few components are<br />

formulated <strong>in</strong> a probabilistic way (Tab. 3.6).<br />

Tab. 3.6: Overview <strong>of</strong> stochastic components <strong>in</strong> <strong>the</strong> FORCLIM-P submodel.<br />

Process<br />

Establishment<br />

Mortality<br />

Stochastic component<br />

• brows<strong>in</strong>g by game<br />

• establishment <strong>of</strong> tree cohorts<br />

• number <strong>of</strong> sapl<strong>in</strong>gs to be established<br />

• age-related mortality<br />

• stress-related mortality<br />

• disturbance-related mortality

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